BioInfo@UAVR at eRisk 2020: on the Use of Psycholinguistics Features and Machine Learning for the Classification and Quantification of Mental Diseases.
Alina TrifanPedro SalgadoJosé Luís OliveiraPublished in: CLEF (Working Notes) (2020)
Keyphrases
- machine learning
- feature vectors
- feature set
- classification accuracy
- feature space
- machine learning approaches
- feature extraction
- decision trees
- pattern recognition
- text classification
- feature selection
- classification method
- classification models
- feature construction
- classification process
- extracted features
- feature values
- feature generation
- gender classification
- machine learning methods
- extracting features
- supervised machine learning
- support vector machine
- machine learning algorithms
- svm classifier
- class labels
- machine learning models
- support vector
- irrelevant features
- supervised learning
- discriminative features
- feature analysis
- natural language processing
- image classification
- feature representation
- pattern classification
- learning tasks
- classification scheme
- benchmark datasets
- feature subset
- features extraction
- feature engineering
- training samples
- svm classification
- computer vision
- feature weights
- data mining